Supabase Realtime vs Socket.io: One Took 10 Minutes, the Other 3 Days

I built the same chat feature twice. Supabase: 10 min. Socket.io: 3 days + reconnection hell. Real latency from shipped apps.

Compare/Supabase Realtime vs Socket.io: One Took 10 Minutes, the Other 3 Days

Comparison

Supabase Realtime vs Socket.io: One Took 10 Minutes, the Other 3 Days

I built the same chat feature with both. Supabase Realtime: 10 min setup. Socket.io: 3 days + reconnection hell. Real latency numbers inside.

Short answer: Supabase Realtime

Short answer

Supabase Realtime for anything where your source of truth is already a Supabase table. Socket.io for peer-to-peer, chat rooms, ephemeral signals that do not belong in a table.

I have used both on shipped apps. The choice is simpler than the internet makes it sound.

Supabase Realtime strengths

  • Zero extra infrastructure. If you already use Supabase for data, you already have Realtime.
  • Authorization piggybacks on RLS. Row-level policies apply to the realtime stream automatically.
  • postgres_changes gives you insert/update/delete events from a table without writing a publisher.
  • Presence built in for "who is online" features.
  • Reconnect is handled. Tokens are refreshed. You do not wire any of it.

Supabase Realtime weaknesses

  • Throughput cap. You are not going to run a 100k concurrent-player game on it.
  • Your events are tied to database rows. If your domain is "transient signal, no row", you are working against the grain.
  • Latency is fine for mobile UX but it is not the lowest you can get.

Socket.io strengths

  • True arbitrary events. Emit anything from anywhere. No schema constraint.
  • Rooms and namespaces are first-class.
  • Mature ecosystem with React Native client.
  • You control the server, so you control performance.

Socket.io weaknesses

  • You run the server. That is a real operational cost β€” scaling, sticky sessions, reconnects.
  • Auth is yours to implement. No RLS.
  • Token refresh on long-lived connections is a problem you own.
  • Native RN WebSocket reconnection is finicky on Android when the app backgrounds.

Real-world performance I measured

A delivery app with ~80 drivers online, each pushing a location every 10 seconds, and ~500 customers subscribing to their assigned driver:

  • Supabase Realtime: server-to-client latency 180–350ms. One reconnect per hour on average.
  • Socket.io (self-hosted on Oracle Cloud): 90–150ms. Similar reconnect frequency.

The Socket.io setup was faster but took an extra two weekends to run reliably. Not worth it for the product I was building.

When I pick Socket.io

  • Multi-user live collaboration (cursors, whiteboards).
  • Live sports or games.
  • Anything where I need event types that are not rows.

When I pick Supabase Realtime

  • Any mobile app where the data already lives in Supabase.
  • Order tracking, chat messages that are just rows, presence.
  • Anything small-to-medium scale.

What Shippen ships

Supabase Realtime wired in by default, with the hooks I use (useRealtimeTable, useChannelPresence). If you need Socket.io later, the backend has a NestJS module you can enable β€” it is not in the default build.

See pricing

Frequently asked questions

Does Supabase Realtime work in React Native?+

Yes. It uses WebSocket under the hood and the @supabase/supabase-js client works identically on React Native and web. No extra setup beyond the standard Supabase install.

What is the latency of Supabase Realtime vs Socket.io?+

In my shipped chat app on Oracle free tier + Supabase free tier: Supabase Realtime median 90-140ms, p99 around 300ms. Socket.io on the same infra: median 40-90ms but I spent 3 days on reconnection and presence edge cases. For 95% of apps the Supabase latency is invisible and the time saved is huge.

When should I still pick Socket.io?+

When you need sub-50ms latency (multiplayer games, live cursors, realtime video sync), custom binary protocols, or full control over the server event loop. Otherwise Supabase Realtime is strictly faster to ship.

Does Supabase Realtime scale?+

Free tier = 200 concurrent connections. Pro tier = 500. Team tier = 5,000. Above that you move to dedicated Realtime servers or shard by channel. For a new indie app you hit product-market-fit questions long before you hit the scale limit.

More comparisons

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